Table of Contents

• Preface1-5 [doi]
• Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal ImagesJakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu. 19-32 [doi]
• Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scansVincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joel Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge. 33-43 [doi]
• Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism ClassificationDevanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas. 44-61 [doi]
• A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive RadiotherapyLaurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring. 62-74 [doi]
• A Learning Strategy for Contrast-agnostic MRI SegmentationBenjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca. 75-93 [doi]
• Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue SegmentationFrancesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia. 94-110 [doi]
• Fast Mitochondria Detection for ConnectomicsVincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn. 111-120 [doi]
• Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust TrainingKaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia. 121-135 [doi]
• On the limits of cross-domain generalization in automated X-ray predictionJoseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand. 136-155 [doi]
• Uncertainty-Aware Training of Neural Networks for Selective Medical Image SegmentationYukun Ding, Jinglan Liu, Xiaowei Xu 0004, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi. 156-173 [doi]
• 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networksRichard Du, Varut Vardhanabhuti. 174-192 [doi]
• Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral ZoneAudrey Duran, Pierre-Marc Jodoin, Carole Lartizien. 193-204 [doi]
• Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial UltrasonographyPierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto Pimenta, Philippe Quetin, Philippe Delachartre. 205-216 [doi]
• Understanding Alzheimer disease's structural connectivity through explainable AIAchraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin. 217-229 [doi]
• Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brainAhmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert. 230-240 [doi]
• A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labelingAhmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert. 241-261 [doi]
• Locating Cephalometric X-Ray Landmarks with Foveated Pyramid AttentionLogan Gilmour, Nilanjan Ray. 262-276 [doi]
• Adversarial Domain Adaptation for Cell SegmentationMohammad MinHazul Haq, JunZhou Huang. 277-287 [doi]
• Quantifying the Value of Lateral Views in Deep Learning for Chest X-raysMohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen. 288-303 [doi]
• An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy ImagesPeter Hirsch, Dagmar Kainmueller. 304-321 [doi]
• DIVA: Domain Invariant Variational AutoencodersMaximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling. 322-348 [doi]
• Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic MutationsPadmaja Jonnalagedda, Brent Weinberg, Jason Allen, Bir Bhanu. 349-364 [doi]
• Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervisionHoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 365-381 [doi]
• Skull R-CNN: A CNN-based network for the skull fracture detectionZhuo Kuang, Xianbo Deng, Li Yu 0003, Hang Zhang, Xian Lin, Hui Ma. 382-392 [doi]
• Well-Calibrated Regression Uncertainty in Medical Imaging with Deep LearningMax-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier. 393-412 [doi]
• Continual Learning for Domain Adaptation in Chest X-ray ClassificationMatthias Lenga, Heinrich Schulz, Axel Saalbach. 413-423 [doi]
• Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial NetworksWanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng. 424-439 [doi]
• Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processingLiangZhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. 440-453 [doi]
• Laplacian pyramid-based complex neural network learning for fast MR imagingHaoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang. 454-464 [doi]
• Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural NetworksJasper Linmans, Jeroen van der Laak, Geert Litjens 0001. 465-478 [doi]
• How Distance Transform Maps Boost Segmentation CNNs: An Empirical StudyJun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen. 479-492 [doi]
• Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional MapDa Ma, Donghuan Lu, Morgan Heisler, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg. 493-502 [doi]
• Siamese Content Loss Networks for Highly Imbalanced Medical Image SegmentationBrandon Mac, Alan R. Moody, April Khademi. 503-514 [doi]
• KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflowBalamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam. 515-526 [doi]
• DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image RegistrationAbhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray. 527-543 [doi]
• Deep Reinforcement Learning for Organ Localization in CTFernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze. 544-554 [doi]
• End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentationNhat M. Nguyen, Nilanjan Ray. 555-569 [doi]
• Siamese Tracking of Cell Behaviour PatternsAndreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves. 570-587 [doi]
• Multitask radiological modality invariant landmark localization using deep reinforcement learningVishwa S. Parekh, Alex E. Bocchieri, Vladimir Braverman, Michael A. Jacobs. 588-600 [doi]
• Mutual information deep regularization for semi-supervised segmentationJizong Peng, Marco Pedersoli, Christian Desrosiers. 601-613 [doi]
• Towards multi-sequence MR image recovery from undersampled k-space dataCheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou. 614-623 [doi]
• On Direct Distribution Matching for Adapting Segmentation NetworksGeorg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida. 624-637 [doi]
• Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR FingerprintingCarolin M. Pirkl, Pedro A. Gómez, Ilona Lipp, Guido Buonincontri, Miguel Molina-Romero, Anjany Sekuboyina, Diana Waldmannstetter, Jonathan Dannenberg, Sebastian Endt, Alberto Merola, Joseph R. Whittaker, Valentina Tomassini, Michela Tosetti, Derek K. Jones, Bjoern H. Menze, Marion I. Menzel. 638-654 [doi]
• Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspectiveAhmad B. Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li 0004, Bjoern H. Menze. 655-668 [doi]
• PathologyGAN: Learning deep representations of cancer tissueAdalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan. 669-695 [doi]
• MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight PredictionSriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam. 696-708 [doi]
• Deep learning-based retinal vessel segmentation with cross-modal evaluationLuisa Sanchez Brea, Danilo Andrade De Jesus, Stefan Klein 0001, Theo van Walsum. 709-720 [doi]
• Tensor Networks for Medical Image ClassificationRaghavendra Selvan, Erik B. Dam. 721-732 [doi]
• A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image QualityRichard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso. 733-742 [doi]
• Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale StudyLuyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan. 743-754 [doi]
• Uncertainty-based Graph Convolutional Networks for Organ Segmentation RefinementRoger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni. 755-769 [doi]
• Extending Unsupervised Neural Image Compression With Supervised Multitask LearningDavid Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi. 770-783 [doi]
• Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer. 784-794 [doi]
• Domain adaptation model for retinopathy detection from cross-domain OCT imagesJing Wang, Yiwei Chen, Wanyue Li, Wen Kong, Yi He, Chuihui Jiang, Guohua Shi. 795-810 [doi]
• Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)David A. Wood 0004, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth. 811-826 [doi]
• Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer ScreeningNan Wu, Stanislaw Jastrzebski, Jungkyu Park 0001, Linda Moy, KyungHyun Cho, Krzysztof J. Geras. 827-842 [doi]
• Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part LearningChensu Xie, Hassan Muhammad, Chad M. Vanderbilt, Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs. 843-856 [doi]
• Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial NetworkZiyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang 0002, Daguang Xu. 857-866 [doi]
• Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False NegativesDarvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin. 867-880 [doi]
• An Auto-Encoder Strategy for Adaptive Image SegmentationEvan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu. 881-891 [doi]
• Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility MappingJinwei Zhang, Hang Zhang 0010, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang 0028. 892-902 [doi]
• SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice AttentionYichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang. 903-913 [doi]
• Direct estimation of fetal head circumference from ultrasound images based on regression CNNJing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz. 914-922 [doi]
• Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised LearningMaya Zohar, Omri Bar, Daniel Neimark, Gregory D. Hager, Dotan Asselmann. 923-936 [doi]